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Duration 7 hours
Course Outline
Introduction to AI in Public Services
- The meaning of AI for service delivery: an overview and definitions
- Digital transformation trends within government
- AI maturity levels across public institutions
Real-World Use Cases in Public Sector Services
- Automated form processing and intake workflows
- The application of AI in healthcare triage, immigration document processing, and tax analysis
- Personalising services using data-driven insights
Language Access and Citizen Engagement
- AI translation and summarisation tools
- Chatbots and virtual agents for multilingual communication
- Enhancing accessibility for diverse populations
AI for Forecasting and Resource Planning
- Utilising AI to predict service demand and capacity
- Early warning systems for fraud, compliance, or case escalation
- Integrating AI into business intelligence workflows
Ethical and Operational Considerations
- Bias, fairness, and explainability in automated decisions
- Managing citizen trust and privacy
- Designing human-in-the-loop service models
Strategic Planning for AI-Enhanced Delivery
- Identifying opportunities for AI within existing service chains
- Assessing readiness regarding data, systems, and workforce
- Cross-agency collaboration and scalable pilots
Summary and Next Steps
Requirements
- Familiarity with public service operations and delivery mechanisms
- Interest in service innovation, the citizen experience, or digital transformation
- No prior technical expertise in AI is required
Audience
- Public sector professionals working in service delivery roles
- Government departments engaged in digital transformation initiatives
- Operations and innovation teams in fields such as tax, health, or immigration
Testimonials (1)
I got to learn more about Microsoft Copilot, something that I thought was the same as chatGPT but I got to discover more exciting options that I will forever use to make my life easy.